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Education
Verified

JSTOR Scraper

Extract academic journal archives, research article metadata, collection listings, and publisher indexes from JSTOR. Built on spider-browser .

Get started Docs
target
jstor.org
success rate
99.9%
latency
~4ms
Quick start

Extract data in minutes.

jstor-scraper.ts
import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://www.jstor.org/action/doBasicSearch?Query=artificial+intelligence");

const data = await page.evaluate(`(() => {
  const articles = [];
  document.querySelectorAll(".search-result-item").forEach(el => {
    const title = el.querySelector(".title a")?.textContent?.trim();
    const authors = el.querySelector(".author")?.textContent?.trim();
    const journal = el.querySelector(".journal-title")?.textContent?.trim();
    const date = el.querySelector(".pub-date")?.textContent?.trim();
    const abstract = el.querySelector(".description")?.textContent?.trim();
    if (title) articles.push({ title, authors, journal, date, abstract });
  });
  return JSON.stringify({ total: articles.length, articles: articles.slice(0, 10) });
})()`);

console.log(JSON.parse(data));
await spider.close();
ready to run · spider-browser · TypeScript
Fetch API

One endpoint for jstor.org.

Structured JSON from jstor.org with a single POST. AI-resolved selectors, cached on the first call.

POST /fetch/jstor.org/
Article titleAuthorsJournal namePublication dateAbstractDOI
cURL
curl -X POST https://api.spider.cloud/fetch/jstor.org/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'
Python
import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/jstor.org/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())
Node.js
const resp = await fetch("https://api.spider.cloud/fetch/jstor.org/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);
Extraction

Fields you can pull.

Article titleAuthorsJournal namePublication dateAbstractDOIPage range
Listings

Course catalog data

Extract courses, instructors, ratings, and pricing from jstor.org.

Rendering

Dynamic catalogs

Handle filtered search results, pagination, and lazy-loaded course cards.

Scale

Platform coverage

Scrape entire course catalogs across categories and skill levels.

Related

More Education scrapers.

Start

Start scraping jstor.org.

Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.